Geochemistry and paleo-geothermal features - Applications of Machine Learning Techniques to Geothermal Play Fairway Analysis in the Great Basin Region, Nevada
Description
This submission contains the geochemistry dataset and paleo-geothermal features (sinter, travertine, tufa) (shapefiles and symbology) used in the Nevada Geothermal Machine Learning project.
A submission linking the full GitHub repository for our machine learning Jupyter Notebooks will appear in the related datasets section of this page once available.
Resources
| Name |
Format |
Description |
Link |
|
57 |
Shapefile containing geochemistry and geothermometry datasets used to derive input grids machine learning models for the Nevada Play Fairway study area. UTM NAD 83 zone 11. |
https://gdr.openei.org/files/1352/geochem_geothermometry_2020.zip |
|
57 |
Shapefile containing paleo-geothermal features used to derive input grids machine learning models for the Nevada Play Fairway study area. UTM NAD 83 zone 11. |
https://gdr.openei.org/files/1352/paleo_geochem_features_2020.zip |
Tags
- travertine
- geophysics
- geospatial
- geospatial-data
- play-fairway
- sinter
- geochemistry
- code
- tufa
- characterization
- geothermometry
- paleo-geothermal
- machine-learning
- nevada
- geothermal
- energy